Machine Learning in Python: A Beginner's Guide to AI and Data Science: A Step-by-Step Guide to Building AI Models and Analyzing Data

By Boozman Richard and Booker Blunt

Unlock the world of artificial intelligence and data science with this beginner-friendly guide to machine learning using Python.

This practical book takes you through everything you need to know to start building intelligent systems that can analyze data, make predictions, and learn from experience. Whether you're new to programming or looking to expand your data science skills, you'll learn how to apply machine learning techniques to real-world problems.

What you'll learn:

How to set up your Python environment for data science

The fundamentals of machine learning algorithms and how they work

How to clean, preprocess, and visualize data

Building your first machine learning models using scikit-learn

How to evaluate model performance and improve accuracy

Real-world use cases, including classification, regression, and clustering

The basics of deep learning and neural networks for advanced projects

By the end of this book, you'll be able to build and train machine learning models, analyze large datasets, and start applying AI techniques to real-world problems.

Perfect for beginners, students, and anyone looking to dive into the world of machine learning with Python.

• Format: Paperback
• Language: English
• ISBN: B0F6VGLYFR
• ISBN13: 9798281796835
• Release Date: April 2025
• Publisher: Independently Published
• Length: 282 Pages
• Weight: 0.84 lbs.
• Dimensions: 0.6" x 6.0" x 9.0"